export const workflowApiModel = {
  '63': {
    inputs: {
      samples: ['64', 0],
      mask: ['170', 1],
    },
    class_type: 'SetLatentNoiseMask',
    _meta: {
      title: '设置Latent噪波遮罩',
    },
  },
  '64': {
    inputs: {
      pixels: ['177', 0],
      vae: ['143', 4],
    },
    class_type: 'VAEEncode',
    _meta: {
      title: 'VAE编码',
    },
  },
  '95': {
    inputs: {
      delimiter: ',',
      clean_whitespace: 'true',
      text_a: ['171', 0],
      text_b: ['96', 0],
    },
    class_type: 'Text Concatenate',
    _meta: {
      title: '文本连锁',
    },
  },
  '96': {
    inputs: {
      text: 'NSFW,lowrs,blurry,deformed, distorted, disfigured:1.3, stacked torsos:1.2, totem pole:1.1, poorly drawn, bad anatomy, wrong anatomy, missing arms, missing legs, extra arms, extra legs, fused fingers, too many fingers, long neck,extra limb, missing limb, floating limbs, mutated hands and fingers:1.4, disconnected limbs, mutation, mutated, ugly, disgusting, blurry, amputation, extra fingers:1.2, worst quality, low quality:1.3out of frame, worst quality, low quality, jpeg artifacts, ugly, duplicate, morbid, mutilated, mutation, deformed, blurry, dehydrated, bad proportions, extra limbs, cloned face, disfigured, gross proportions, malformed limbs',
    },
    class_type: 'Text Multiline',
    _meta: {
      title: '多行文本',
    },
  },
  '130': {
    inputs: {
      guide_size: 256,
      guide_size_for: true,
      max_size: 768,
      seed: 63904235824370,
      steps: 5,
      cfg: 1.5,
      sampler_name: 'lcm',
      scheduler: 'sgm_uniform',
      denoise: 0.5,
      feather: 5,
      noise_mask: true,
      force_inpaint: true,
      bbox_threshold: 0.5,
      bbox_dilation: 10,
      bbox_crop_factor: 3,
      sam_detection_hint: 'center-1',
      sam_dilation: 0,
      sam_threshold: 0.93,
      sam_bbox_expansion: 0,
      sam_mask_hint_threshold: 0.7000000000000001,
      sam_mask_hint_use_negative: 'False',
      drop_size: 10,
      wildcard: '',
      cycle: 1,
      inpaint_model: false,
      noise_mask_feather: 20,
      image: ['183', 5],
      model: ['183', 0],
      clip: ['143', 5],
      vae: ['183', 4],
      positive: ['183', 1],
      negative: ['183', 2],
      bbox_detector: ['138', 0],
    },
    class_type: 'FaceDetailer',
    _meta: {
      title: '面部细化',
    },
  },
  '138': {
    inputs: {
      model_name: 'bbox/face_yolov8m.pt',
    },
    class_type: 'UltralyticsDetectorProvider',
    _meta: {
      title: '检测加载器',
    },
  },
  '143': {
    inputs: {
      ckpt_name: '极氪写实MAX-极氪白系列模型_V6.safetensors',
      vae_name: 'Baked VAE',
      clip_skip: -2,
      lora_name: 'None',
      lora_model_strength: 1,
      lora_clip_strength: 1,
      positive: ['179', 0],
      negative: ['95', 0],
      token_normalization: 'none',
      weight_interpretation: 'A1111',
      empty_latent_width: 512,
      empty_latent_height: 512,
      batch_size: 1,
      lora_stack: ['185', 0],
      cnet_stack: ['153', 0],
    },
    class_type: 'Efficient Loader',
    _meta: {
      title: '效率加载器',
    },
  },
  '153': {
    inputs: {
      switch_1: 'On',
      controlnet_1: 'control_v11p_sd15_openpose.pth',
      controlnet_strength_1: 1,
      start_percent_1: 0,
      end_percent_1: 1,
      switch_2: 'Off',
      controlnet_2: 'None',
      controlnet_strength_2: 1,
      start_percent_2: 0,
      end_percent_2: 1,
      switch_3: 'Off',
      controlnet_3: 'None',
      controlnet_strength_3: 1,
      start_percent_3: 0,
      end_percent_3: 1,
      image_1: ['166', 0],
    },
    class_type: 'CR Multi-ControlNet Stack',
    _meta: {
      title: 'ControlNet堆',
    },
  },
  '159': {
    inputs: {
      from_translate: 'auto',
      to_translate: 'english',
      add_proxies: 'disable',
      proxies: '',
      auth_data: '',
      service: 'GoogleTranslator',
      text: '一个女孩，正面视角，灰色背景，光着肩膀，光着腿，坐在凳子上,室内场景,露腰',
      'Show proxy': 'proxy_hide',
      'Show authorization': 'authorization_hide',
    },
    class_type: 'DeepTranslatorTextNode',
    _meta: {
      title: '翻译文本(高级)',
    },
  },
  '166': {
    inputs: {
      detect_hand: 'enable',
      detect_body: 'enable',
      detect_face: 'enable',
      resolution: 512,
      bbox_detector: 'yolox_l.onnx',
      pose_estimator: 'dw-ll_ucoco_384.onnx',
      image: ['177', 0],
    },
    class_type: 'DWPreprocessor',
    _meta: {
      title: 'DW姿态预处理器',
    },
  },
  '169': {
    inputs: {
      output_path: '[time(%Y-%m-%d)]',
      filename_prefix: 'aimodel_output_final_',
      filename_delimiter: '_',
      filename_number_padding: 4,
      filename_number_start: 'false',
      extension: 'png',
      quality: 100,
      lossless_webp: 'false',
      overwrite_mode: 'false',
      show_history: 'false',
      show_history_by_prefix: 'true',
      embed_workflow: 'true',
      show_previews: 'true',
      images: ['130', 0],
    },
    class_type: 'Image Save',
    _meta: {
      title: '图像保存',
    },
  },
  '170': {
    inputs: {
      image_path:
        'https://wangbo0808.oss-cn-shanghai.aliyuncs.com/aidraw/AI%25E5%2581%2587%25E4%25BA%25BA%25E6%25A8%25A1%25E7%2589%25B9__segment_output_final__0001.png',
      RGBA: 'false',
      filename_text_extension: 'false',
    },
    class_type: 'Image Load',
    _meta: {
      title: '图像加载',
    },
  },
  '171': {
    inputs: {
      text: '吊带',
      platform: 'alibaba',
      source: 'auto',
      target: 'en',
    },
    class_type: 'ZFTextTranslation',
    _meta: {
      title: '文本翻译',
    },
  },
  '177': {
    inputs: {
      image_path:
        'https://wangbo0808.oss-cn-shanghai.aliyuncs.com/aidraw/AI%E5%81%87%E4%BA%BA%E6%A8%A1%E7%89%B9.png',
      RGBA: 'false',
      filename_text_extension: 'false',
    },
    class_type: 'Image Load',
    _meta: {
      title: '图像加载',
    },
  },
  '179': {
    inputs: {
      text: '纯色背景，专业摄影',
      platform: 'alibaba',
      source: 'auto',
      target: 'en',
    },
    class_type: 'ZFTextTranslation',
    _meta: {
      title: '文本翻译',
    },
  },
  '183': {
    inputs: {
      seed: 598298253737174,
      steps: 5,
      cfg: 1.5,
      sampler_name: 'lcm',
      scheduler: 'sgm_uniform',
      denoise: 1,
      preview_method: 'none',
      vae_decode: 'true',
      model: ['143', 0],
      positive: ['143', 1],
      negative: ['143', 2],
      latent_image: ['63', 0],
      optional_vae: ['143', 4],
    },
    class_type: 'KSampler (Efficient)',
    _meta: {
      title: 'K采样器(效率)',
    },
  },
  '185': {
    inputs: {
      input_mode: 'simple',
      lora_count: 3,
      lora_name_1: 'lcm\\lcm_sd1.5_pytorch_lora_weights.safetensors',
      lora_wt_1: 1,
      model_str_1: 1,
      clip_str_1: 1,
      lora_name_2: 'None',
      lora_wt_2: 1,
      model_str_2: 1,
      clip_str_2: 1,
      lora_name_3: 'None',
      lora_wt_3: 1,
      model_str_3: 1,
      clip_str_3: 1,
      lora_name_4: 'None',
      lora_wt_4: 1,
      model_str_4: 1,
      clip_str_4: 1,
      lora_name_5: 'None',
      lora_wt_5: 1,
      model_str_5: 1,
      clip_str_5: 1,
      lora_name_6: 'None',
      lora_wt_6: 1,
      model_str_6: 1,
      clip_str_6: 1,
      lora_name_7: 'None',
      lora_wt_7: 1,
      model_str_7: 1,
      clip_str_7: 1,
      lora_name_8: 'None',
      lora_wt_8: 1,
      model_str_8: 1,
      clip_str_8: 1,
      lora_name_9: 'None',
      lora_wt_9: 1,
      model_str_9: 1,
      clip_str_9: 1,
      lora_name_10: 'None',
      lora_wt_10: 1,
      model_str_10: 1,
      clip_str_10: 1,
      lora_name_11: 'None',
      lora_wt_11: 1,
      model_str_11: 1,
      clip_str_11: 1,
      lora_name_12: 'None',
      lora_wt_12: 1,
      model_str_12: 1,
      clip_str_12: 1,
      lora_name_13: 'None',
      lora_wt_13: 1,
      model_str_13: 1,
      clip_str_13: 1,
      lora_name_14: 'None',
      lora_wt_14: 1,
      model_str_14: 1,
      clip_str_14: 1,
      lora_name_15: 'None',
      lora_wt_15: 1,
      model_str_15: 1,
      clip_str_15: 1,
      lora_name_16: 'None',
      lora_wt_16: 1,
      model_str_16: 1,
      clip_str_16: 1,
      lora_name_17: 'None',
      lora_wt_17: 1,
      model_str_17: 1,
      clip_str_17: 1,
      lora_name_18: 'None',
      lora_wt_18: 1,
      model_str_18: 1,
      clip_str_18: 1,
      lora_name_19: 'None',
      lora_wt_19: 1,
      model_str_19: 1,
      clip_str_19: 1,
      lora_name_20: 'None',
      lora_wt_20: 1,
      model_str_20: 1,
      clip_str_20: 1,
      lora_name_21: 'None',
      lora_wt_21: 1,
      model_str_21: 1,
      clip_str_21: 1,
      lora_name_22: 'None',
      lora_wt_22: 1,
      model_str_22: 1,
      clip_str_22: 1,
      lora_name_23: 'None',
      lora_wt_23: 1,
      model_str_23: 1,
      clip_str_23: 1,
      lora_name_24: 'None',
      lora_wt_24: 1,
      model_str_24: 1,
      clip_str_24: 1,
      lora_name_25: 'None',
      lora_wt_25: 1,
      model_str_25: 1,
      clip_str_25: 1,
      lora_name_26: 'None',
      lora_wt_26: 1,
      model_str_26: 1,
      clip_str_26: 1,
      lora_name_27: 'None',
      lora_wt_27: 1,
      model_str_27: 1,
      clip_str_27: 1,
      lora_name_28: 'None',
      lora_wt_28: 1,
      model_str_28: 1,
      clip_str_28: 1,
      lora_name_29: 'None',
      lora_wt_29: 1,
      model_str_29: 1,
      clip_str_29: 1,
      lora_name_30: 'None',
      lora_wt_30: 1,
      model_str_30: 1,
      clip_str_30: 1,
      lora_name_31: 'None',
      lora_wt_31: 1,
      model_str_31: 1,
      clip_str_31: 1,
      lora_name_32: 'None',
      lora_wt_32: 1,
      model_str_32: 1,
      clip_str_32: 1,
      lora_name_33: 'None',
      lora_wt_33: 1,
      model_str_33: 1,
      clip_str_33: 1,
      lora_name_34: 'None',
      lora_wt_34: 1,
      model_str_34: 1,
      clip_str_34: 1,
      lora_name_35: 'None',
      lora_wt_35: 1,
      model_str_35: 1,
      clip_str_35: 1,
      lora_name_36: 'None',
      lora_wt_36: 1,
      model_str_36: 1,
      clip_str_36: 1,
      lora_name_37: 'None',
      lora_wt_37: 1,
      model_str_37: 1,
      clip_str_37: 1,
      lora_name_38: 'None',
      lora_wt_38: 1,
      model_str_38: 1,
      clip_str_38: 1,
      lora_name_39: 'None',
      lora_wt_39: 1,
      model_str_39: 1,
      clip_str_39: 1,
      lora_name_40: 'None',
      lora_wt_40: 1,
      model_str_40: 1,
      clip_str_40: 1,
      lora_name_41: 'None',
      lora_wt_41: 1,
      model_str_41: 1,
      clip_str_41: 1,
      lora_name_42: 'None',
      lora_wt_42: 1,
      model_str_42: 1,
      clip_str_42: 1,
      lora_name_43: 'None',
      lora_wt_43: 1,
      model_str_43: 1,
      clip_str_43: 1,
      lora_name_44: 'None',
      lora_wt_44: 1,
      model_str_44: 1,
      clip_str_44: 1,
      lora_name_45: 'None',
      lora_wt_45: 1,
      model_str_45: 1,
      clip_str_45: 1,
      lora_name_46: 'None',
      lora_wt_46: 1,
      model_str_46: 1,
      clip_str_46: 1,
      lora_name_47: 'None',
      lora_wt_47: 1,
      model_str_47: 1,
      clip_str_47: 1,
      lora_name_48: 'None',
      lora_wt_48: 1,
      model_str_48: 1,
      clip_str_48: 1,
      lora_name_49: 'None',
      lora_wt_49: 1,
      model_str_49: 1,
      clip_str_49: 1,
    },
    class_type: 'LoRA Stacker',
    _meta: {
      title: 'LoRA堆',
    },
  },
};
